Feng Qiang, Chen Yiran, Sun Bo, Li Songjie
School of Reliability and Systems Engineering, Beihang University, Beijing, China.
Sichuan jiuzhou Aerocont Technologies Co. Ltd., Mianyang, China.
ScientificWorldJournal. 2014;2014:430190. doi: 10.1155/2014/430190. Epub 2014 Apr 17.
An optimization method for condition based maintenance (CBM) of aircraft fleet considering prognostics uncertainty is proposed. The CBM and dispatch process of aircraft fleet is analyzed first, and the alternative strategy sets for single aircraft are given. Then, the optimization problem of fleet CBM with lower maintenance cost and dispatch risk is translated to the combinatorial optimization problem of single aircraft strategy. Remain useful life (RUL) distribution of the key line replaceable Module (LRM) has been transformed into the failure probability of the aircraft and the fleet health status matrix is established. And the calculation method of the costs and risks for mission based on health status matrix and maintenance matrix is given. Further, an optimization method for fleet dispatch and CBM under acceptable risk is proposed based on an improved genetic algorithm. Finally, a fleet of 10 aircrafts is studied to verify the proposed method. The results shows that it could realize optimization and control of the aircraft fleet oriented to mission success.
提出了一种考虑预测不确定性的机队基于状态的维修（CBM）优化方法。首先分析了机队的CBM和调度过程，并给出了单机的备选策略集。然后，将以较低维修成本和调度风险的机队CBM优化问题转化为单机策略的组合优化问题。关键线路可更换模块（LRM）的剩余使用寿命（RUL）分布已转化为飞机的故障概率，并建立了机队健康状态矩阵。给出了基于健康状态矩阵和维修矩阵的任务成本和风险计算方法。进一步，基于改进的遗传算法，提出了一种在可接受风险下的机队调度和CBM优化方法。最后，以一个由10架飞机组成的机队为例进行研究，验证所提方法。结果表明，该方法能够实现以任务成功为导向的机队优化与控制。
